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为DataTransform组件增加更细粒度的缺失值填充参数设置 #4929

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为DataTransform组件增加更细粒度的缺失值填充参数设置 #4929

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a9b27d4
Merge pull request #1 from FederatedAI/master
jsuper Mar 21, 2023
6e5e877
Merge branch 'FederatedAI:master' into master
jsuper Jun 15, 2023
7c62f6b
为DataTransform组件增加更细粒度的缺失值填充参数设置
jsuper Jun 15, 2023
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9 changes: 7 additions & 2 deletions python/federatedml/util/data_transform.py
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Original file line number Diff line number Diff line change
Expand Up @@ -80,6 +80,8 @@ def __init__(self, data_transform_param):
else:
self.exclusive_data_type = None

self.col_missing_fill_method = data_transform_param.col_missing_fill_method

def _update_param(self, schema):
meta = schema["meta"]
self.delimitor = meta.get("delimiter", ",")
Expand Down Expand Up @@ -229,7 +231,8 @@ def fill_missing_value(self, input_data_features, mode="fit"):
if mode == "fit":
input_data_features, self.default_value = imputer_processor.fit(input_data_features,
replace_method=self.missing_fill_method,
replace_value=self.default_value)
replace_value=self.default_value,
col_replace_method=self.col_missing_fill_method)
if self.missing_impute is None:
self.missing_impute = imputer_processor.get_missing_value_list()
else:
Expand Down Expand Up @@ -693,6 +696,7 @@ def __init__(self, data_transform_param):
self.missing_impute = None
self.anonymous_generator = None
self.anonymous_header = None
self.col_missing_fill_method = data_transform_param.col_missing_fill_method

def _update_param(self, schema):
meta = schema["meta"]
Expand Down Expand Up @@ -806,7 +810,8 @@ def fill_missing_value(self, input_data, tags_dict, schema, mode="fit"):
if mode == "fit":
data, self.default_value = imputer_processor.fit(input_data,
replace_method=self.missing_fill_method,
replace_value=self.default_value)
replace_value=self.default_value,
col_replace_method=self.col_missing_fill_method)
LOGGER.debug("self.default_value is {}".format(self.default_value))
else:
data = imputer_processor.transform(input_data,
Expand Down